Directory fix

process.py

@@ -20,22 +20,22 @@ def textDetection(im):
 
     #change dir to yolo folder
     #yolo_dir = "/HCR/TextDetection/"
-    subprocess.call('pwd', shell=True)
-    subprocess.call('ls', shell=True)
-    subprocess.call('sudo cd '+ Dir.yolo_dir, shell=True)
+    #subprocess.call('pwd', shell=True)
+    #subprocess.call('ls', shell=True)
+    ## subprocess.call('sudo cd '+ Dir.yolo_dir, shell=True)
 
     #transfrom ndarray type to PIL type
     im = Image.fromarray(im)
 
     # save input image to cookie folder
-    subprocess.call('cd cookie', shell=True)
-    im.save("user_input.jpg", 'JPEG')
+    ## subprocess.call('cd cookie', shell=True)
+    im.save(Dir.yolo_dir+"/cookie/user_input.jpg", 'JPEG')
 
     #yolo_dir = "/HCR/TextDetection/"
-    subprocess.call('cd '+ Dir.yolo_dir, shell=True)
+    ## subprocess.call('cd '+ Dir.yolo_dir, shell=True)
 
     # (Shell) run detect.py to get cropped word images
-    subprocess.call(['python','detect.py',
+    subprocess.call(['python', Dir.yolo_dir+'/detect.py',
                   #User Input Data : /text_detection/cookie
                  '--source','/cookie',
                   #Text Detection Model : /runs/wordDetection/weights/best.pt
@@ -54,14 +54,14 @@ def textDetection(im):
     #return Image.fromarray(results.imgs[0])
 
 def textRearrange():
-    subprocess.call('cd ' + Dir.DBSCAN_dir, shell=True)
-    subprocess.call(['python','DBSCAN.py'])
+    ## subprocess.call('cd ' + Dir.DBSCAN_dir, shell=True)
+    subprocess.call(['python', Dir.DBSCAN_dir+'/DBSCAN.py'])
 
 def textRecognition():
     #%cd /content/drive/MyDrive/KITA/Text/lmdb/deep-text-recognition-benchmark
-    subprocess.call('cd '+Dir.recog_dir, shell=True)
+    ## subprocess.call('cd '+Dir.recog_dir, shell=True)
     #!CUDA_VISIBLE_DEVICES=0 python3 demo.py --Transformation TPS --FeatureExtraction ResNet --SequenceModeling BiLSTM --Prediction Attn --image_folder /content/drive/MyDrive/KITA/Text/YOLO/runs/detect/youtube_data2/crops/word --saved_model /content/drive/MyDrive/KITA/Text/best_accuracy_s/best_accuracy_s.pth
-    subprocess.call('CUDA_VISIBLE_DEVICES="" python3 demo.py --Transformation TPS --FeatureExtraction ResNet --SequenceModeling BiLSTM --Prediction Attn --image_folder ' + Dir.yolo_dir + Dir.cropped_img_path + '/crops/word --saved_model '+ Dir.recog_model_dir, shell=True)
+    subprocess.call('CUDA_VISIBLE_DEVICES="" python3 '+ Dir.recog_dir +'/demo.py --Transformation TPS --FeatureExtraction ResNet --SequenceModeling BiLSTM --Prediction Attn --image_folder ' + Dir.yolo_dir + Dir.cropped_img_path + '/crops/word --saved_model '+ Dir.recog_model_dir, shell=True)
 
 def getHcrResult(file_path):#*#
     texts = ""